198 results about "Electric power demand" patented technology

The uncertainty of availability and risk associated with the cost of power procurement hinders the consumer from using new sources of supply / storage devices or taking part in the competitive power markets or procuring power from green energy resources. Present disclosure provides a method and a system for optimal scheduling of power sources for meeting electricity demand of enterprise. In particular, the system performs portfolio optimization formulation for cost, risk and carbon emission minimization for the enterprise. The portfolio optimization formulation simulates market scenario and guides in providing effective power purchase strategy for enterprise along with real-time adjustments. In particular, the level of risk to be considered along with cost of power procurement and carbon footprint determine portfolio allocation for each time block in portfolio optimization formulation. Thus, enterprise may choose most appropriate terms of contract, best installation size of renewable resources or batteries, and supply sources.

The invention provides an island energy system optimization scheduling method considering ammonia-to-electricity waste heat power generation, and the method employs an independent island integrated energy system containing an ammonia-to-electricity system to execute a weekly-day-intra-day multi-stage operation optimization scheduling strategy, and the independent island integrated energy system is a system considering the ammonia supply demand. Wind energy and solar energy are used as energy input, energy is supplied to seawater desalination equipment and an electricity-to-ammonia system, and the electric load requirements of island residents are met; meanwhile, seawater desalination equipment is used as a power demand response resource to increase the water-energy coupling relationship of the system model, and cross-time storage and utilization of fresh water resources are realized through a reservoir, so that an ammonia-hydrogen power ship which is used for meeting daily travel demands of island residents is used as an ammonia load; an electricity-to-ammonia system and an ammonia storage tank are adopted to realize effective consumption of island wind and light resources; according to the invention, the long-period energy supply reliability of the island can be improved, and the problem of uncertainty of wind energy and light energy resources of the island can be effectively solved.

The invention relates to the technical field of power supply systems, in particular to a distributed micro-grid power station system based on methanol fuel and a control method thereof.The distributed micro-grid power station system comprises a plurality of methanol generator sets arranged in parallel and an intelligent energy storage system, and the methanol generator sets are used for supplying power to loads; the intelligent energy storage system and the methanol generator set are connected in parallel through a bus, and the micro-grid control system controls the intelligent energy storage system to store redundant electric energy when the power demand is in the valley; and controlling the intelligent energy storage system to release electric energy so as to balance load fluctuation in a power demand peak. Complementation is formed through the methanol generator set and the energy storage system, the methanol generator set provides steady-state power, the energy storage system bears transient power to compensate the sudden power increasing gap of the methanol generator set, and the problems that the power of the methanol generator set cannot keep up due to the fact that the instantaneous power demand of loads such as a drilling platform is too large, and the energy consumption is low are solved. And the impact load is difficult to deal with independently.

The invention discloses a mountain wind power plant construction method based on a high-power wind generating set, and aims to solve the problems of large wind speed fluctuation and unstable power output in a mountain wind power plant. According to the method, the high-power wind generating set and the small wind power plant are reasonably arranged, risks caused by wind speed fluctuation are dispersed, meanwhile, a solar photovoltaic power generation system is combined, complementary power generation of wind energy and solar energy is achieved, and the overall power generation stability is improved. Through an intelligent scheduling system, in combination with real-time meteorological data and power grid load requirements, power generation output of wind power, solar energy and energy storage systems is optimized, and load balance and power supply stability of a power grid are improved. In addition, by configuring an energy storage system and providing standby power, it is ensured that the power requirement can still be met under the condition that the wind speed is low or illumination is insufficient. In the aspect of operation and maintenance, remote monitoring and unmanned aerial vehicle inspection technologies are combined, the operation and maintenance efficiency of the wind power plant is improved, and fault risks are reduced.

The invention relates to the technical field of boiler transformation, in particular to a half-capacity storage type / direct blowing type coal pulverizing system, a coal pulverizing method and a boiler, pulverized coal treatment paths on the two sides of a coal mill are improved, pulverized coal treated by the coal mill is divided into a direct blowing mode and a storage mode, and when a thermal power generating unit operates at a high load, the pulverized coal is stored in the direct blowing mode. The fuel is directly delivered to a hearth to participate in combustion in a direct blowing mode, and stable load supply is ensured; pulverized coal separated by a coal mill is collected and stored in a storage mode, and when the power demand fluctuates, a proper amount of pulverized coal is extracted and mixed with primary air to participate in combustion according to the load requirement. By means of the coal pulverizing mode, the frequency of frequent starting and stopping of the coal mill can be reduced when the thermal power generating unit operates in a low-load mode, the response speed and flexibility of the thermal power generating unit to load changes are improved, and the economical efficiency and stability of the system are enhanced. The problems that the stability of a thermal power generating unit system is affected and energy consumption is large due to frequent starting and stopping of an existing coal mill are solved.

The invention discloses an electric power spot transaction market quantity reporting method, and relates to the technical field of electric power transaction, and the system comprises an energy storage intelligent management and collection module, an electric power supply and demand prediction module, a transaction rule building module, a transaction optimization and regulation module, and a market supervision and model optimization module. A refined power supply and demand prediction model is created by collecting various data sources including meteorological data, macroeconomic data and industrial project planning information and combining historical power supply and demand data, power demands in different seasons and different time periods can be accurately predicted, the prediction result can be dynamically corrected according to real-time data, and the prediction efficiency is improved. And meanwhile, a dynamic energy storage excitation mechanism is also constructed, and a cross-seasonal energy storage strategy is formulated in combination with cost, price fluctuation and technical characteristics, so that reasonable configuration and efficient utilization of energy storage resources are effectively realized, and the stability and economical efficiency of the power system are further improved.

A facility for predicting on site electric power requirements for maintaining a fully electric fleet of vehicles in a mining operation to ensure sustainable electric operations, comprising a server comprising communications module configured to receive data and to transmit load management instructions; plurality of electrical charging stations; plurality of electric vehicles configured to be recharged by a selected electrical charging station; wherein the server comprises processor coupled with non-volatile memory, the non-volatile memory storing processing instructions that, when executed by the processor, causes the processor to simulate a total electrical power demand of the mine site due to the plurality of cabled mine equipment and the plurality of electric vehicles for each electric vehicle and each charging station within the facility over a prescribed period thereby to simulate and determine an energy storage capacity requirement of the charging stations of the facility through the prescribed period; thereby to forecast the electrical load management needs of the facility through the prescribed period.

The invention relates to a daily electric quantity prediction method considering business expansion influence. The electric quantity prediction method comprises the following steps: obtaining electric quantity record data, corresponding meteorological data and records of business expansion installation events of a to-be-predicted area before a to-be-predicted time point; model training; the method specifically comprises the following steps: constructing a prediction model training framework based on meta-learning; establishing a combined electricity consumption neural network prediction model based on a convolutional neural network and an efficient channel attention mechanism; comparing the prediction performance of the model under various different configurations, and finally confirming a configuration scheme with the optimal prediction performance; and predicting by using the model. According to the method, the ECA mechanism and the deep learning model are combined, so that the recognition capability of the characteristics sensitive to the power demand fluctuation is remarkably improved, and the prediction precision is improved.

The invention discloses a method and equipment for measuring and calculating the charging capacity of a battery swap station and a medium, and aims to solve the technical problems that the passenger flow volume and charging requirements in different time periods cannot be accurately predicted and the power requirements of battery swap and charging services cannot be balanced according to different operation habits and energy complementation habits of drivers in the prior art. The method comprises the steps of predicting a battery replacement demand of a battery replacement station in a preset time period; obtaining available electric power of the battery swap station and charging bin power of the battery swap station, and calculating residual charging capacity of the battery swap station in combination with the battery swap demand; and determining the number of openable charging piles of the battery swap station according to the residual charging capacity. According to the invention, the number of the openable charging piles can be flexibly adjusted according to the real-time data and the prediction result, so as to cope with the fluctuation and change of the battery replacement demand, and ensure the stable operation and efficient service of the battery replacement station.

The invention belongs to the field of thermoelectric unit thermoelectric decoupling, and discloses a fused salt energy storage system for thermoelectric decoupling of a power plant and a working method thereof, and the fused salt energy storage system comprises a fused salt electric heating subsystem, a fused salt heat storage subsystem and a fused salt-steam-water heat exchange subsystem which are connected in sequence. The fused salt electric heating subsystem is used for heating low-temperature fused salt by utilizing high-plant electric energy; the fused salt heat storage subsystem realizes high-temperature and low-temperature fused salt circulating transmission and high-temperature fused salt storage; and the fused salt-steam-water heat exchange subsystem exchanges heat with water through high-temperature fused salt to generate steam which is supplied to the corresponding mother pipe. Thermoelectric decoupling is achieved through fused salt energy storage, fused salt energy storage is not limited by geography, arrangement can be flexible, and power transmission loss is low. Energy is released during the peak of power demand and stored during the valley of power demand, so that the loss of a system power transmission network is effectively reduced, peak clipping and valley filling are realized, the peak regulation and difference adjustment capabilities of a power plant unit are enhanced, the flexible demand of peak-valley difference of a power grid can be better adapted, stable power supply of a region is ensured, and efficient utilization of energy is improved.

An aircraft hybrid motive power source system includes: a gas turbine engine mounted on an aircraft and including a low-pressure shaft and a high-pressure shaft as rotary shafts; a first motor generator drivingly connected to the high-pressure shaft; a second motor generator drivingly connected to the low-pressure shaft; a fuel cell to which a fuel gas and an oxidant gas are supplied; a fuel gas generator configured to generate the fuel gas from a raw material by heating using an exhaust gas from the gas turbine engine; and a controller configured to supply an electric power of the fuel cell obtained by a supply of the fuel gas to one of the first motor generator and the second motor generator, based on at least one of information indicating an operating status of the gas turbine engine and an electric power demand of the aircraft.

The disclosure discloses a battery mounting structure, an outdoor mobile power supply and an electronic assembly, and belongs to the technical field of electronic assemblies. The battery mounting structure comprises a telescopic member, a first battery assembly and at least one second battery assembly. The first battery assembly is sleeved on the telescopic member; one second battery assembly is sleeved on the telescopic member and electrically connected with the first battery assembly, and the remaining second battery assemblies are sleeved on the telescopic member in an axial direction of the telescopic member in sequence and electrically connected in sequence. According to the battery mounting structure provided by the disclosure, a user can increase or reduce a number of the second battery assemblies at will according to an actual electricity demand, so as to increase or reduce a battery capacity at will, thus improving use convenience and portability.

A method for managing electrical loads includes monitoring current of the branch circuits to determine an electricity demand of the branch circuits. The method includes comparing an available supply with the electricity demand. Each of the branch circuits are connected to the available supply by a circuit breaker that requires manual reset (e.g., if tripped) connected in series with a controllable relay. The method includes controlling the controllable relays to connect and disconnect the branch circuits from the available supply.

The invention relates to a fused salt heat storage technology in a spinning process, in particular to a fused salt heat storage system based on electricity price adjustment and a control method.The fused salt heat storage system comprises a fused salt pipeline, a steam pipeline and a nylon pipeline, and the fused salt pipeline is provided with a fused salt storage tank, an electric heater, a first circulating pump, a heat exchanger and a second circulating pump; a third circulating pump is arranged on the steam pipeline; a screw extruder, a spinning machine and a steam sleeve are arranged on the nylon pipeline; the electric power demand in the peak period is remarkably reduced, the pressure of an electric power system in the peak period is relieved, the social benefit is remarkable, fused salt heat storage and heating are combined together, and the working efficiency is improved.

The invention relates to the technical field of electric power, in particular to an electricity price fluctuation quantification method, device, equipment and medium based on regression analysis, and the method comprises the steps: taking electric power price fluctuation in peak load of electric power as a dependent variable, and taking new energy power generation, thermal power generation, electric power demand, generating capacity and capacity electricity price as independent variables; establishing a multiple linear regression model; verifying whether the independent variable and the dependent variable have a linear relationship or not, preliminarily carrying out multiple linear regression analysis, finding an optimal regression coefficient by minimizing a residual sum of squares, and carrying out multiple linear problem judgment; a ridge regression analysis method is adopted, a regularization item is added into a loss function to limit the size of a regression coefficient, overfitting of the model is reduced, and a ridge function is confirmed through cross validation; performing overall significance test and regression coefficient significance test on the multiple linear regression model, and analyzing the fitting degree; and performing quantitative analysis on electricity price fluctuation by using the fitted multiple linear regression model.

The invention discloses a carbon emission prediction and novel power system planning method and system in the urban power field. The method comprises the following steps: calculating the energy demand quantity of each department according to the urban total production value GDP, population, industrial structure and energy consumption characteristic data; calculating the total carbon emission amount of the electric power department based on the energy demand in combination with the carbon emission factor; on the basis of the total carbon emission amount of an electric power department, urban energy endowment, emission reduction tasks, emission reduction policies and power generation technology improvement are considered, and on the basis of economy, population and electricity consumption parameters of an electric power demand end, various development situations of low carbon, zero carbon and negative carbon of an electric power system are designed; predicting carbon emission and carbon emission reduction corresponding to the demand end in each scene, and obtaining an emission reduction path from the demand end; and establishing a power system multi-scene optimization planning model by taking the lowest net present value of the total cost of the system as an objective function and taking urban power related constraints as constraint conditions, and calculating a power generation installed capacity development path meeting the system cost and the related constraints.

The invention discloses a DC micro-grid system coordination control method and system and a DC charging pile, and relates to the technical field of micro-grids, and the method comprises the steps: obtaining an environment parameter, a photovoltaic power generation parameter and an energy storage charge state of an operation region in real time, and carrying out the supply and demand matching of photovoltaic power generation power Pfor and an accumulated power demand Deu, and the cooperative work between the photovoltaic power generation system and the energy storage system is realized by optimizing the scheduling vector EA. The system can cope with the fluctuation of the photovoltaic power generation power and the real-time electricity price Pgrid of the power grid, and the system continuously improves the utilization efficiency of the system on renewable energy sources through monitoring the utilization rate Nr of the renewable energy sources, the charge state Soc of the energy storage system, the charging speed Vc of the electric vehicle and the electricity purchasing quantity Eg of the power grid and through iterative optimization. The cooperative efficiency of the photovoltaic power generation system and the energy storage system is effectively improved, the energy consumption and the operation cost are reduced, and the problems of insufficient utilization of renewable energy sources and lagging of power scheduling response are also remarkably solved.

The invention discloses a hydrothermal power generation system scheduling optimization method based on transfer learning and a GAN, and the method comprises the steps: combining a randomly generated scheduling scheme population with an optimization scheduling scheme population of a previous power demand when a current power demand is a second power demand; obtaining an optimal scheduling scheme population of the current power demand on the basis of a non-dominated sorting genetic algorithm to perform hydrothermal power generation system scheduling, and when the current power demand is a third or more power demand, extracting experience of a historical optimal scheduling scheme population on the basis of a transfer learning thought; generating a new scheduling scheme population with historical experience in combination with a GAN (Generative Adversarial Network) and standard normal distribution, and obtaining an optimized scheduling scheme population of the current power demand through fusion and a non-dominated sorting genetic algorithm to schedule the hydrothermal power generation system; the invention has the advantage of high stability in balancing the total fuel cost of the minimum thermal power generator set and the emission load of the minimum thermal power generator set for the overall power demand.

The invention belongs to the technical field of light storage batteries, and particularly relates to an automatic plugging device for a light storage battery vehicle and an electricity utilization bin, which comprises a butt joint frame, an electricity utilization interface is arranged at the top of the front surface of the butt joint frame, a half connector is fixedly mounted on the inner side wall of the electricity utilization interface, and a plugging shell is fixedly mounted on the outer side of the electricity utilization interface. The outer cambered surface of the power utilization interface is sleeved with a conical shell, the middle section of the outer cambered surface of the conical shell is provided with an arc-shaped abutting surface, one end of the arc-shaped abutting surface close to the power utilization interface is provided with a bent section part, and the upper surface of the bent section part is placed in the inner side wall of the power utilization interface. Compared with a traditional manual plugging mode, the connection time is shortened, the operation efficiency is improved, and the automatic locking and sealing device is suitable for emergency power supply and other scenes with high response speed requirements and can quickly meet the power requirements of the power utilization bin.

The invention provides a micro-grid system supply and demand balance and green energy scheduling optimization method and system, which can accurately match the user side power demand and green energy production, and can call an energy storage system to release stored electric energy or buy electricity through a main power grid to complement power vacancy when there is a supply and demand electric quantity difference in a power generation trough and a power consumption peak period; in the peak period of solar power generation, photovoltaic electric energy is preferentially used for meeting the load requirement, when the total power generation amount is larger than the total power consumption amount, redundant power can be used for charging an energy storage device, efficient consumption of renewable energy sources is achieved, meanwhile, the stable and continuous characteristics of wind power generation are utilized, basic power is provided for loads in the whole time period day and night, and energy is saved. And in the solar valley stage and the load valley stage, the energy storage system is matched to carry out charging and discharging scheduling and stabilize power fluctuation, challenges caused by load peak-valley difference and renewable energy intermittency can be effectively handled through multi-energy cooperative control logic, and the reliability, economical efficiency and clean energy permeability of micro-grid operation are improved.

To manage contract of a consumer's right to use of electric power generated by a power plant and traceability of electric power demand while guaranteeing authenticity.SOLUTION: An electric power transaction management system for managing a power plant account of a power plant and a consumer's consumer account by using a block chain network 40 includes: the right to use issuing means for issuing a right to use token of electric power supplied by the power plant for the power plant account; request acquisition means for acquiring request information of use of the consumer with respect to the electric power to be supplied; right-to-use transfer means transferring the right-to-use token to the consumer account on the basis of the request information; power-generation-achievement issuing means for issuing a power-generation-achievement token about the power generation achievement to the power plant account; use-achievement acquisition means for acquiring use-achievement information of electric power of the consumer; and power-generation-achievement transfer means for transferring the power-generation-achievement token to the consumer account on the basis of the use-achievement information and the right-to-use token of the consumer account.SELECTED DRAWING: Figure 10

Changing electrical power needs for buildings often requires the upgrade of the electrical panel, the addition of extra panels, or both. Herein, a single electrical panel hosts power interface modules that connect to multiple power rails within the panel. The modules, which plug into the panel, convert power between the rails, or make and break connections between the rails, under the command of a system controller. The rails are connected to switchgear to which a variety of external power sources and loads can be connected. The modules are cooled by a heat exchanger and the waste heat may be directed outside or used to heat inside the building or heat domestic water.

The invention provides a combined cooling heating and power multi-energy complementary system based on biomass energy, solar energy and wind energy. The combined cooling heating and power multi-energy complementary system comprises an electric power balance system, a heat balance system and a cold balance system. According to the system, biomass energy, solar energy and wind energy are utilized, the problems that current primary energy consumption is too fast and carbon emission is too high can be solved, power generation and gas generation of the system are dynamically utilized for reasonable distribution of the system, a balance system for a user to meet the power requirement and the cooling and heating load requirement is achieved, and utilization of clean energy, straw, waste gas and the like are achieved. The livestock manure is reasonably and fully utilized, the problem of dynamic multi-energy complementation is solved, and the problems of biomass energy waste and environmental pollution are solved to the maximum extent.

The invention discloses a power demand prediction method and device, a medium and equipment. According to the method, the historical power data and the to-be-predicted day information are integrated, the historical data are deeply optimized by using the mutual information method and the cosine similarity principle, and an accurate power demand prediction index system is constructed. Furthermore, an initial sample set related to a to-be-predicted day is screened out through a relative error method of the first structure model, and electric power data meeting short-term electric power demand prediction are extracted through numerical similarity and shape similarity analysis of the second structure model. And finally, selecting a first index system in combination with the to-be-predicted day and the index system, inputting the selected data into the training primitive long-short-term memory model, and accurately outputting the power demand result of each time period of the to-be-predicted day according to the powerful time sequence analysis capability of the model. According to the invention, the accuracy of short-term power demand prediction is improved, and the problem that the short-term power demand cannot be accurately predicted in the prior art is solved.

The invention discloses an electric power daily load prediction method based on policy quantification and a long-short-term memory algorithm, which belongs to the technical field of electric power system load prediction, and comprises the following steps: converting policies into quantitative indexes according to qualitative description of the policies, generating numerical characteristics reflecting the influence of policy changes on electric power demands, and calculating the electric power daily load prediction results; performing data preprocessing through abnormal value cleaning, missing value filling and normalization operation to obtain input data of the model; based on a long short-term memory network, model training is carried out according to input data, and a prediction model is generated by initializing model parameters, setting training hyper-parameters and a self-adaptive training strategy and adjusting dynamic parameters and is used for predicting the daily power load. According to the method, the power load change can be quickly and accurately predicted, so that the uncertainty caused by policy adjustment is effectively dealt with, and the operation efficiency and safety of a power system are improved.

An energy storage system includes a pneumatic vessel, a cable system attached to the vessel, a compressor for pressurizing the vessel, a generator attached to the cable system, a turboexpander generator for receiving compressed air from the vessel, and a control system. The system deflates and allows the vessel to sink in a body of water, inflates the vessel to store energy when an abundance of it exists, and allows the inflated vessel to resurface to release its buoyant energy to the generator via the cable system and to release compressed air to the turboexpander generator to generate electricity when electricity demand is high and / or electricity generation from other sources is low.

The present invention discloses a power optimization method and system for suppressing the load on a wind turbine transmission system. The method comprises: S1, obtaining the operating parameters of each wind turbine and establishing a wind turbine state-space equation; S2, using a power demand command as a boundary condition, upper and lower limits of the wind turbine active power output, and the angular velocity and torsional torque of the transmission system as constraints, and minimizing the variation of the transmission system angular acceleration and torsional torque as the objective function, to solve the active power reference value for each wind turbine based on the wind turbine state-space equation; S3, measuring the fatigue level of the transmission system based on historical operating data of each wind turbine, calculating a corresponding weight based on the fatigue level, and then correcting the active power reference value based on the weight to obtain the final active power command. The present invention can effectively suppress torsional vibration, improve fatigue damage to the transmission system, and enhance the safety and stability of wind turbine grid-connected operation.

The invention relates to the technical field of energy storage, seawater desalination and power generation, and discloses a seawater desalination and power generation system utilizing gas compression-hydrate two-stage energy storage, which comprises a gas compression energy storage module, a hydrate formation energy storage module, a hydrate decomposition module, a power generation module and a cold energy recovery module, low-pressure gas is subjected to compression energy storage through green electricity, waste electricity or redundant electricity, high-pressure gas and seawater act to form hydrate for secondary energy storage, the energy storage density is improved, hydrate decomposition is conducted in the peak period of power demand, gas is released, and a motor is driven to generate electricity; low-temperature desalination is generated after the hydrate is decomposed, the seawater is pre-cooled through the heat exchanger and circularly enters the hydrate forming kettle to provide pre-cooling water for subsequent hydrate forming energy storage, and fresh water flowing out of the heat exchanger can be used as a fresh water resource. According to the invention, seawater desalination and power generation can be carried out by using gas compression-hydrate two-stage energy storage.

The invention discloses an electric power system monitoring data analysis method and system based on big data, relates to the technical field of electric power system monitoring, ensures comprehensiveness and accuracy of data through real-time and multi-dimensional data acquisition, and provides a solid foundation for subsequent data processing and analysis. According to the method, the problems of data lag and incomplete information in the traditional data acquisition process are effectively solved, the timeliness and accuracy of the data are improved, and the load dispatching optimization module dispatches power to an area with a high load value according to the comparison of a load predicted value LT and a load critical value LLT. And intelligent scheduling of electric power resources is realized. The waste of electric power resources is effectively avoided, the electric power demand of a high-load area is ensured to be preferably met, and the efficiency and fairness of electric power distribution are improved. And the real-time adjustment module adjusts the power dispatching scheme according to the actual load prediction value LT to ensure dynamic optimal distribution of power resources.

A method and apparatus for generating electrical power, including providing a generator configured to generate a first voltage, providing a voltage converter configured to operably down-convert the first voltage output to a second voltage output to provide a first amount of power to a set of electrical loads, and changing a power demand for at least a subset of the set of electrical loads, wherein the changed power demand increases the power demanded. To meet the increased power demand, the voltage converter is controlled to operably down-convert the first voltage output to the second voltage output to provide a second amount of power to the set of electrical loads. The second amount of power is greater than the first amount of power. The power-generating capabilities of the generator are not modified between providing the first amount of power and providing the second amount of power.